ABSTRACT
Abstract Introduction Invasive mold disease is an important complication of patients with hematologic malignancies, and is associated with high mortality. A diagnostic-driven approach has been an alternative to the classical empiric antifungal therapy. In the present study we tested an algorithm that incorporated risk stratification using the D-index, serial serum galactomannan and computed tomographic-scan to guide the decision to start antifungal therapy in neutropenic patients. Patients and methods Between May 2010 and August 2012, patients with acute leukemia in induction remission were prospectively monitored from day 1 of chemotherapy until discharge or death with the D-index and galactomannan. Patients were stratified in low, intermediate and high risk according to the D-index and an extensive workup for invasive mold disease was performed in case of positive galactomannan (≥0.5), persistent fever, or the appearance of clinical manifestations suggestive of invasive mold disease. Results Among 29 patients, 6 (21%), 11 (38%), and 12 (41%) were classified as high, intermediate, and low risk, respectively. Workup for invasive mold disease was undertaken in 67%, 73% and 58% (p = 0.77) of patients in each risk category, respectively, and antifungal therapy was given to 67%, 54.5%, and 17% (p = 0.07). Proven or probable invasive mold disease was diagnosed in 67%, 45.5%, and in none (p = 0.007) of high, intermediate, and low risk patients, respectively. All patients survived. Conclusion A risk stratification using D-index was a useful instrument to be incorporated in invasive mold disease diagnostic approach, resulting in a more comprehensive antifungal treatment strategy, and to guide an earlier start of treatment in afebrile patients under very high risk.
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Young Adult , Aspergillosis/drug therapy , Algorithms , Fusariosis/drug therapy , Mannans/blood , Antifungal Agents/therapeutic use , Neutropenia/immunology , Aspergillosis/diagnosis , Aspergillosis/immunology , Myelodysplastic Syndromes/immunology , Myelodysplastic Syndromes/microbiology , Leukemia, Myeloid, Acute/immunology , Leukemia, Myeloid, Acute/microbiology , Tomography, X-Ray Computed , Prospective Studies , Sensitivity and Specificity , Risk Assessment , Fusariosis/diagnosis , Fusariosis/immunology , Mannans/immunology , Neutropenia/microbiologyABSTRACT
BACKGROUND/AIMS: Combined measurement of perinuclear antineutrophil cytoplasmic autoantibodies (pANCA) and anti-Saccharomyces cereviseae mannan antibodies (ASCA) has recently been suggested as a valuable diagnostic approach to inflammatory bowel disease (IBD) in the pediatric age group. The aim of this study was to test the accuracy of the assay using pANCA and ASCA in diagnosing pediatric ulcerative colitis (UC) and Crohn's disease (CD). METHODS: Sera were collected from 25 patients with IBD (17 with CD, 8 with UC) and 32 healthy controls. The levels of pANCA and ASCA were determined by using a standard indirect immunofluorescence technique on ethanol-fixed granulocytes and an ELISA assay, respectively. RESULTS: In patients with UC, the sensitivity, specificity, and positive predictive value of the pANCA test were 38%, 88%, and 60%, respectively. Such values were not changed significantly in the case of positive pANCA and negative ASCA. The sensitivity, specificity, and positive predictive value of ASCA test in diagnosing CD were 71%, 88%, and 92%, respectively. The combination of pANCA negative and ASCA positive was not significant. CONCLUSIONS: ASCA and pANCA assays are highly disease specific for CD and UC, respectively. These serological tests can assist clinicians in diagnosing and categorizing patients with IBD and may be useful in making therapeutic decisions.